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篇名 |
人工智能时代的知识: 致力于培养专长和学会迁移
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並列篇名 | Knowledge for the Age of Artificial Intelligence: Development of Expertise and Learning to Transfer |
作者 | 瑪雅•比亞利克、查理斯•菲德爾 |
英文摘要 | The advent of the era of artificial intelligence has redefined employability, requiring educators to focus on two foundations y namely y foundational knowledge (including core concepts and essential content) and foundational competencies (including skills, character and meta-learning). Under this outlook, students are expected to strike a balance between developing expertise and learning to transfer. They will be educated to be a T-shaped expert with aspirations to be M-shaped one. Expertise and the transfer ability are developed via concepts rather than on learning content that can now be easily accessed and manipulated. It is similar to the way that the flipped classroom pedagogy incorporates technology for learning content so that class time can be used for activity-based concept learning. Core concepts are a power tool of knowledge and should be of high priority in the curriculum. If knowing and doing are appropriately combined in learning, the possibility of causing problematic knowledge ^fragile knowledge, recipe knowledge and inert knowledge, etc. ) will be reduced. |
起訖頁 | 013-022 |
關鍵詞 | 专长、迁移、人工智能时代、知识、理解、知与行、expertise、transfer the era of artificial intelligence、knowledge、understandings knowing and do- ing、CSSCI |
刊名 | 開放教育研究 |
期數 | 201804 (24:2期) |
出版單位 | 上海遠程教育集團;上海電視大學 |
該期刊 上一篇
| 聚焦培育综合学习能力-访荷兰马斯特里赫特大学杰伦•范梅里恩伯尔教授 |
該期刊 下一篇
| 论人工智能时代的师生关系 |